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CN109634941A - Medical data processing method, device, electronic equipment and storage medium - Google Patents

Medical data processing method, device, electronic equipment and storage medium
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Publication number
CN109634941A
CN109634941ACN201811351571.4ACN201811351571ACN109634941ACN 109634941 ACN109634941 ACN 109634941ACN 201811351571 ACN201811351571 ACN 201811351571ACN 109634941 ACN109634941 ACN 109634941A
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medical
data
medical data
index
rule
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CN109634941B (en
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程东旭
张治宇
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Golden Panda Ltd
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Golden Panda Ltd
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Abstract

The embodiment provides a kind of medical data processing method, device, electronic equipment and storage mediums, are related to big data technical field.This method comprises: analyzing the medical data in target data source, multiple indicator-specific statistics rules are obtained;The medical data in target data source is drawn into the first medical index library based on indicator-specific statistics rule;The medical data in the first medical index library is verified based on pre-determined draw rule, wherein pre-determined draw rule is the verification rule verified to the medical data in the first medical index library;When determining that the medical data in the first medical index library is wrong through verification, wrong medical data will be verified and be drawn into the second medical index library.The technical solution of the embodiment of the present invention can automatically verify the data from target data source, find data problem earlier, and then can reduce the rehabilitation cost of data.

Description

Medical data processing method, device, electronic equipment and storage medium
Technical field
The present invention relates to big data technical fields, at a kind of medical data processing method, medical dataManage device, electronic equipment and computer readable storage medium.
Background technique
With the development of medical information, various big hospital has formd HIS (Hospital InformationSystem, hospital information system), LIS (Laboratory Information Management System, laboratory informationManagement system) etc. medical information systems, have accumulated a large amount of medical data in these medical information systems.
For the medical data of application accumulation, need medical data extracting application end from data source.Currently, generalUsing the mode of ETL (extract-transform-load, extraction-conversion-load) by data from data source (for example, formerBeginning operation system) by extracting, converting, being loaded onto destination (for example, data warehouse).ETL can be by dispersion, isomeric dataData such as relation data, flat data file in source are cleaned, are converted, and data warehouse or Data Mart are finally loaded intoIn.It is shown referring to Fig.1 in a kind of technical solution, the medical data of clinical treatment system end 110 is cleaned, is converted, is addedIt carries, by treated, medical data is drawn into data platform end 120, and finally passes data to using 130, in application end130 completion data are for example checked and approved or school finds number in use with hospital existing report data compared with testingIt is fed back according to problem.
However, not only needing manually to verify medical data, but also arrive in medical data in this technical solutionThe problem of medical data inaccuracy, the higher cost of data reparation can be just exposed after application end.
It should be noted that information is only used for reinforcing the reason to background of the present invention disclosed in above-mentioned background technology partSolution, therefore may include the information not constituted to the prior art known to persons of ordinary skill in the art.
Summary of the invention
The embodiment of the present invention is designed to provide a kind of medical data processing method, medical data processing unit, electronicsEquipment and computer readable storage medium, and then needs is overcome manually to verify to medical data at least to a certain extentAnd data reparation higher cost the problem of.
According to a first aspect of the embodiments of the present invention, a kind of medical data processing method is provided, comprising: to target dataMedical data in source is analyzed, and multiple indicator-specific statistics rules are obtained;Based on the indicator-specific statistics rule by the number of targetsIt is drawn into the first medical index library according to the medical data in source;Based on pre-determined draw rule in first medical index libraryMedical data verified, wherein the pre-determined draw rule be to the medical data in first medical index library intoThe verification rule of row verification;When determining that the medical data in first medical index library is wrong through verification, will verify wrongMedical data be drawn into the second medical index library.
In some embodiments of the invention, aforementioned schemes, the medical data processing method further include: through school are based onThe medical data in determining first medical index library is tested without mistaking, errorless medical data will be verified as reference data;The reference data is imported into third medical index library.
In some embodiments of the invention, aforementioned schemes are based on, first medical treatment is referred to based on pre-determined draw ruleMedical data in mark library is verified, comprising: is obtained from third medical index library based on the indicator-specific statistics ruleThe reference data;Based on the pre-determined draw rule and the reference data to the medical treatment in first medical index libraryData are verified.
In some embodiments of the invention, aforementioned schemes, the medical data processing method are based on further include: be based on instituteThe medical data stated in target data source verifies the medical data in second medical index library;It is determined through verificationMedical data in second medical index library determines that pre-determined draw corresponding with errorless medical data is verified is advised without mistakingThen;The check results adjustment corresponding pre-determined draw rule based on the errorless medical data of the verification.
In some embodiments of the invention, aforementioned schemes, the medical treatment method are based on further include: true being verifiedWhen medical data in fixed second medical index library is wrong, pre-determined draw corresponding with wrong medical data is verified is determinedRule;Trusted identities are added to the identified corresponding pre-determined draw rule.
In some embodiments of the invention, aforementioned schemes are based on, the pre-determined draw rule includes: that index major key repeatsIt is more each less than or equal to first threshold, hospital than change rate that rate is zero, same index year-on-year growth rate is more than or equal to zero, same index ringRank association rate of going to a doctor between system is more than or equal to one of second threshold or a variety of.
In some embodiments of the invention, aforementioned schemes, the medical data processing method further include: pass through figure are based onSheet form shows the medical data in first medical index library and second medical index library.
According to a second aspect of the embodiments of the present invention, a kind of medical data processing unit is provided, comprising: indicator-specific statistics ruleThen acquiring unit obtains multiple indicator-specific statistics rules for analyzing the medical data in target data source;First dataExtracting unit refers to for the medical data in the target data source to be drawn into the first medical treatment based on the indicator-specific statistics ruleIt marks in library;Verification unit, for being verified based on pre-determined draw rule to the medical data in first medical index library,Wherein, the pre-determined draw rule is the verification rule verified to the medical data in first medical index library;TheTwo data pick-up units, for when determining that the medical data in first medical index library is wrong through verification, verification to be hadMedical data accidentally is drawn into the second medical index library.
According to a third aspect of the embodiments of the present invention, a kind of electronic equipment is provided, comprising: processor;And memory,It is stored with computer-readable instruction on the memory, is realized when the computer-readable instruction is executed by the processor as aboveState medical data processing method described in first aspect.
According to a fourth aspect of the embodiments of the present invention, a kind of computer readable storage medium is provided, meter is stored thereon withCalculation machine program realizes the medical data processing side as described in above-mentioned first aspect when the computer program is executed by processorMethod.
In the technical solution provided by some embodiments of the present invention, on the one hand, based on analyzing to medical dataTo indicator-specific statistics rule medical data is drawn into the first medical index library, convenient for according to medical data index to medical numberAccording to being handled;On the other hand, the medical data in the first medical index library is verified based on pre-determined draw rule, high-ranking officersIt tests wrong medical data to be drawn into the second medical index library, school automatically can be carried out to the data from target data sourceIt tests;In another aspect, due to that can find data problem before medical data reaches application end, so as to find number earlierAccording to problem, and then it can reduce the rehabilitation cost of data.
It should be understood that above general description and following detailed description be only it is exemplary and explanatory, notIt can the limitation present invention.
Detailed description of the invention
The drawings herein are incorporated into the specification and forms part of this specification, and shows and meets implementation of the inventionExample, and be used to explain the principle of the present invention together with specification.It should be evident that the accompanying drawings in the following description is only the present inventionSome embodiments for those of ordinary skill in the art without creative efforts, can also basisThese attached drawings obtain other attached drawings.In the accompanying drawings:
Fig. 1 shows a kind of schematic block diagram of the clinical medical data processing system in prior art;
Fig. 2 shows the flow diagrams of medical data processing method according to some embodiments of the present invention;
Fig. 3 shows the schematic block diagram of medical treatment data processing system according to some embodiments of the present invention;
Fig. 4 shows the schematic block diagram of medical data processing unit according to some embodiments of the present invention;
Fig. 5 shows the structural schematic diagram for being suitable for the computer system for the electronic equipment for being used to realize the embodiment of the present invention.
Specific embodiment
Example embodiment is described more fully with reference to the drawings.However, example embodiment can be real in a variety of formsIt applies, and is not understood as limited to embodiment set forth herein;On the contrary, thesing embodiments are provided so that the present invention will be comprehensively and completeIt is whole, and the design of example embodiment is comprehensively communicated to those skilled in the art.Identical appended drawing reference indicates in figureSame or similar part, thus repetition thereof will be omitted.
In addition, described feature, structure or characteristic can be incorporated in one or more implementations in any suitable mannerIn example.In the following description, many details are provided to provide and fully understand to the embodiment of the present invention.However,It will be appreciated by persons skilled in the art that technical solution of the present invention can be practiced without one or more in specific detail,Or it can be using other methods, constituent element, device, step etc..In other cases, it is not shown in detail or describes known sideMethod, device, realization or operation are to avoid fuzzy each aspect of the present invention.
Block diagram shown in the drawings is only functional entity, not necessarily must be corresponding with physically separate entity.I.e., it is possible to realize these functional entitys using software form, or realized in one or more hardware modules or integrated circuitThese functional entitys, or these functional entitys are realized in heterogeneous networks and/or processor device and/or microcontroller device.
Flow chart shown in the drawings is merely illustrative, it is not necessary to including all content and operation/step,It is not required to execute by described sequence.For example, some operation/steps can also decompose, and some operation/steps can closeAnd or part merge, therefore the sequence actually executed is possible to change according to the actual situation.
In a kind of technical solution, proper ETL tool is selected for example: Datastage, Kettle,The medical data at clinical treatment end is drawn into data warehouse by configuring corresponding data pick-up rule by Powercenter etc.In.Had in extraction process and do some simple data checks work, for example, verification number of data source and destination whetherUnanimously, whether source and the null value rate of destination field are consistent etc..It is then possible to by report demonstration tool by medical data withThe form of report is shown and existing report data is checked and relatively tested.
In the technical scheme, it is also desirable to manually medical data be verified, it is difficult to find that medical data is asked earlierTopic, the higher cost of data reparation.
Fig. 2 shows the flow diagrams of medical data processing method according to some embodiments of the present invention.Referring to Fig. 2Shown, which may comprise steps of:
Step S210 analyzes the medical data in target data source, obtains multiple indicator-specific statistics rules;
Medical data in the target data source is drawn into the first doctor based on the indicator-specific statistics rule by step S220It treats in index storehouse;
Step S230 verifies the medical data in first medical index library based on pre-determined draw rule,In, the pre-determined draw rule is the verification rule verified to the medical data in first medical index library;
Step S240 will be verified wrong when determining that the medical data in first medical index library is wrong through verificationMedical data be drawn into the second medical index library.
Medical data processing method according to fig. 2, on the one hand, the indicator-specific statistics obtained based on the analysis to medical dataMedical data is drawn into the first medical index library by rule, is handled convenient for the index according to medical data medical data;On the other hand, the medical data in the first medical index library is verified based on pre-determined draw rule, wrong doctor will be verifiedData pick-up is treated into the second medical index library, automatically the data from target data source can be verified;Another sideFace, due to that can find data problem before medical data reaches application end, so as to find data problem earlier, intoAnd it can reduce the rehabilitation cost of data.
In the following, the medical data processing method in the example embodiment to Fig. 2 is described in detail.
In step S210, the medical data in target data source is analyzed, obtains multiple indicator-specific statistics rules.
In some example embodiments, target data source is the existing clinical medical data of hospital.All due to each hospitalThe data volume of medical data with magnanimity for example several TB to tens TB, it is contemplated that the distributed processing framework of big data technology hasThere is the advantage of quickly processing mass data, distributed data base can be selected to store the medical data of target data source.DistributionFormula database can be HIVE database or MongoDB database, and the present invention is to this without particular determination.
In the exemplary embodiment, can by the ETL of the data source of objective hospital (Extract Transform Load,Extracting conversion load) database of layer is as data warehouse, based on the clinical medical data that data source is obtained from objective hospital,It concludes and expands in conjunction with the base values in the daily statistical evaluation of chapter 7 in " three-level general hospital review standards of designing detailed rules for the implementation "It fills to obtain multiple indicator-specific statistics rules.
Multiple indexs may include: resource distribution index, workload indicator, therapeutic quality index, working efficiency index,The indexs such as burden of patients index, asset operation index.Wherein, resource distribution index may include practical opening bed, Quan YuanyuanWork sum, health technical personnel, medical construction area etc..Indicator-specific statistics rule is the rule counted to each indexThen, various dimensions point can be carried out to each index according to dimensions such as year, month, day, department, visit types by indicator-specific statistics ruleAnalysis.
In step S220, the medical data in the target data source is drawn into based on the indicator-specific statistics ruleIn one medical index library.
In some example embodiments, the database of the medical data of target data source will can be stored as data binsMedical data is drawn into the first medical index library by library based on These parameters statistical rules from data warehouse, such as will be with fingerThe corresponding data of index in mark statistical rules are drawn into the first medical index library from data warehouse.First medical index library isBasic medical treatment index storehouse, for storing the medical data extracted according to These parameters statistical rules from data warehouse.
In the first medical index library, that is, basic medical treatment index storehouse, index can be divided by the correlation of each system of hospitalAre as follows: seven resource distribution, workload, therapeutic quality, working efficiency, burden of patients, asset operation, scientific achievement modules.ItsIn, workload indicator may include: a year outpatient service flow, health examination person-time, year emergency treatment person-time, year inpatient discharge exampleNumber, year hospitalisation for surgery number of cases etc..
In step S230, school is carried out to the medical data in first medical index library based on pre-determined draw ruleIt tests, wherein the pre-determined draw rule is the verification rule verified to the medical data in first medical index library.
In the exemplary embodiment, the medical data in the first medical index library can be summarized and analyzed, is made a reservation forDecimation rule, the pre-determined draw rule are the verification rule verified to the medical data in the first medical index library.It is logicalIt crosses the pre-determined draw rule to verify the medical data in the first medical index library, for example, being in pre-determined draw ruleWhen same index year-on-year growth rate cannot be negative, can under verifying work load index year outpatient service flow year-on-year growth rate beIt is no to be negative, if the year-on-year growth rate of year outpatient service flow is negative, determine that the medical data is wrong.
It should be noted that the index major key repetitive rate that pre-determined draw rule may include: each table of data warehouse be zero, it is sameOne index year-on-year growth rate is more than or equal to zero, same index ring and is less than or equal between each system of first threshold, hospital just than change rateIt examines rank association rate and is more than or equal to one of second threshold or a variety of.Further, it is also possible to which decimation rule example is added as neededThe medical data of such as same index is continuous in time.In some embodiments, first threshold can be 100%, secondThreshold value can be 95%, and it is also possible to adjust first threshold and second threshold according to check results, the present invention is to first thresholdWith second threshold without particular determination.
It is possible to further regular according to the different adjustment pre-determined draws in month, for example, February becomes due to weather conditionTo change acutely, same index ring is likely larger than first threshold than change rate, therefore, the medical data of corresponding February, by sameWhen one index ring is verified than change rate rule, when the ring of medical data is greater than first threshold than change rate, by the medical treatmentData are determined as correct medical data.
Step S240 will be verified wrong when determining that the medical data in first medical index library is wrong through verificationMedical data be drawn into the second medical index library.
In the exemplary embodiment, school is carried out to the medical data in the first medical index library by above-mentioned pre-determined draw ruleIt tests, the decimation rule for example, by using same index year-on-year growth rate more than or equal to zero is to the medical data in the first medical index libraryIt is verified, when verifying the year-on-year growth rate of medical data of same index less than zero, determines that the medical data is wrong, high-ranking officersThe wrong medical data is tested to be drawn into the second medical index library.Second medical index library, that is, early warning medical index library, is used forStorage verifies wrong medical data.
It is extracted from basic medical treatment index storehouse by pre-determined draw rule and verifies wrong data to the second medical index libraryIn i.e. early warning medical index library, can be realized the medical data verifying function of automation.
Further, it in order to make full use of check results, is verified in the first medical index library through pre-determined draw ruleMedical data can will verify errorless medical data as reference data, will verify errorless medical data and import without mistakingInto third medical index library.Third medical index library is benchmark medical index library, verifies errorless medical data for storingThat is reference data can verify the medical data in the first medical index library by the reference data in third medical index library.It is imported into third medical index library by the way that errorless medical data will be verified as reference data, continuous iteration base can be passed throughQuasi- data carry out version to improve verification rule and reference data so as to make full use of the check results verified every time and mentionThe quality of medical data is risen.
Specifically, can be referred to based on this when verifying the medical data under a certain index in the first medical index libraryTarget indicator-specific statistics rule obtains corresponding reference data from third medical index library, based on above-mentioned pre-determined draw rule andThe reference data of acquisition verifies the medical data in the first medical index library.Wrong data will be verified and import the second doctorIt treats in index storehouse to carry out more detailed data analysis.
Further, since the medical data of the basic medical treatment index in the second medical index library, that is, early warning medical index library is differentFixed mistake, therefore, can further verify the medical data in the second medical index library.
It in some example embodiments, can be based on the medical data in target data source in the second medical index libraryMedical data is verified, and is being verified the medical data in determining second medical index library without mistaking, determined errorless with verificationMedical data corresponding pre-determined draw rule, the check results based on the medical data adjust corresponding pre-determined draw ruleThen.For example, can be based on the medical data in target data source to the moon outpatient service people of the workload in the second medical index libraryMedical data under number index is verified, and, without mistaking, is determining the corresponding pre-determined draw rule of the medical data i.e. through verificationDetermine that the medical data is extracted by which decimation rule, determine the medical data be by ring than change rate be less than etc.In first threshold decimation rule extract when, can increase first threshold such as first threshold be 100% when, by first threshold tuneWhole is 120%.
Fig. 3 shows the schematic block diagram of medical treatment data processing system according to some embodiments of the present invention.
Referring to shown in Fig. 3, which may include: clinical treatment system end 310, data platform end320, the first medical index library 330, correction verification module 340, the second medical index library 350 and application end 360.Wherein, clinical doctorTreating system end 310 can be used as data source, add after being cleaned, being converted to the medical data of clinical treatment system end 310It is downloaded to data platform end 320.The database at data platform end 320 can be used as data warehouse, based on the doctor in the data warehouseTreating data combines the reference index in " three-level general hospital review standards of designing detailed rules for the implementation " in the daily statistical evaluation of chapter 7 to returnIt receives out multiple indicator-specific statistics rule, the medical data in data platform end 320 is drawn into the based on the indicator-specific statistics ruleIn one medical index library 330.In the first medical index library 330, index can be divided into according to the correlation of each system of hospital:Seven resource distribution, workload, therapeutic quality, working efficiency, burden of patients, asset operation, scientific achievement modules.It is verifyingIn module 340, the medical data in the first medical index library 330 can be summarized and analyzed, obtain pre-determined draw rule, instituteStating pre-determined draw rule is the verification rule verified to the medical data in the first medical index library 330.
It is wrong through verifying after being verified in correction verification module 340 to the medical data in the first medical index library 330Medical data is sent to the second medical index library 350, is sent to application end 360 for errorless medical data is verified.
It is possible to further based on the medical data in target data source to the medical number in the second medical index library 350According to being verified, when determining that the medical data in the second medical index library 350 is wrong through verification, determines and verify wrong doctorThe corresponding pre-determined draw rule of data is treated, trusted identities are added to identified pre-determined draw rule.For example, can be cured to secondThe medical data treated under the moon outpatient service index of number of the workload in index storehouse 350 verifies, and when verifying wrong, determinesThe corresponding pre-determined draw rule of the medical data, that is, determine that the medical data is extracted by which decimation rule, in determinationThe medical data is when being extracted by ring than the decimation rule that change rate is less than or equal to first threshold, can to add to the decimation ruleAdd trusted identities, for example, the field of a trusted identities can be added for the decimation rule.By being added to pre-determined draw ruleTrusted identities can adjust pre-determined draw rule, so as to promote the accuracy of pre-determined draw rule, together according to trusted identitiesWhen also can constantly improve the quality of data.
In addition, in some embodiments, the display platform of medical data can also be built, by the first medical index library andMedical data in two medical index libraries passes through ECharts and is intuitively shown with chart, so as to more convenient and quickerObservation analysis is carried out to achievement data.ECharts is to be realized by a kind of open source type diagrammatic representation tool using JavaScriptOpen source visualization library smooth can operate on personal computer and mobile device, compatible current most browsers(IE8/9/10/11, Chrome, Firefox, Safari etc.), is capable of providing that intuitive, interaction is abundant, can height personalized customizationData visualization chart.These advantages based on ECharts, can be by it as the visual presentation tool of achievement data.
Further, it is also possible to which approved errorless medical data is stamped trusted identities medical number for example errorless to approvalAccording to credible field is added, illustrate the accurate foundation of data as when delivering downstream application end and hospital.
In addition, in an embodiment of the present invention, additionally providing a kind of medical data processing unit.Referring to shown in Fig. 4, the doctorTreating data processing equipment may include: indicator-specific statistics Rule unit 410, the first data pick-up unit 420, verification unit430 and the second data pick-up unit 440.Wherein, indicator-specific statistics Rule unit 410 is used for the doctor in target data sourceIt treats data to be analyzed, obtains multiple indicator-specific statistics rules;First data pick-up unit 420 is used to advise based on the indicator-specific statisticsThen the medical data in the target data source is drawn into the first medical index library;Verification unit 430 is used for based on predeterminedDecimation rule verifies the medical data in first medical index library, wherein the pre-determined draw rule is to instituteState the verification rule that the medical data in the first medical index library is verified;Second data pick-up unit 440 is used for through schoolTest determine first medical index library in medical data it is wrong when, will verify wrong medical data be drawn into second medical treatmentIn index storehouse.
In some embodiments of the invention, aforementioned schemes, the medical data processing unit 400 further include: base are based onQuasi- data import unit will verify nothing for being verified the medical data in determining first medical index library without mistakingMedical data accidentally is as reference data;The reference data is imported into third medical index library.
In some embodiments of the invention, aforementioned schemes are based on, verification unit 430 is configured as: based on the indexStatistical rules obtains the reference data from third medical index library;Based on the pre-determined draw rule and the baseQuasi- data verify the medical data in first medical index library.
In some embodiments of the invention, aforementioned schemes, the medical data processing unit 400 are based on further include: theOne verification unit, for based on the medical data in the target data source to the medical data in second medical index libraryIt is verified;First determination unit, for being verified the medical data in determining second medical index library without mistaking, reallyFixed pre-determined draw rule corresponding with errorless medical data is verified;Adjustment unit, for the medical treatment errorless based on the verificationThe check results adjustment of the data corresponding pre-determined draw rule.
In some embodiments of the invention, aforementioned schemes, the medical treatment device 400 are based on further include: second reallyOrder member, for determining and verifying wrong when determining that the medical data in second medical index library is wrong through verificationThe corresponding pre-determined draw rule of medical data;Adding unit is identified, for the identified corresponding pre-determined draw ruleAdd trusted identities.
In some embodiments of the invention, aforementioned schemes are based on, the pre-determined draw rule includes: that index major key repeatsIt is more each less than or equal to first threshold, hospital than change rate that rate is zero, same index year-on-year growth rate is more than or equal to zero, same index ringRank association rate of going to a doctor between system is more than or equal to one of second threshold or a variety of.
In some embodiments of the invention, aforementioned schemes, the medical data processing unit 400 are based on further include: exhibitionShow unit, for showing the medical number in first medical index library and second medical index library by diagrammatic formAccording to.
Each functional module and above-mentioned medical number due to the medical data processing unit 400 of example embodiments of the present inventionAccording to processing method example embodiment the step of it is corresponding, therefore details are not described herein.
In an exemplary embodiment of the present invention, a kind of electronic equipment that can be realized the above method is additionally provided.
Below with reference to Fig. 5, it illustrates the computer systems 500 for the electronic equipment for being suitable for being used to realize the embodiment of the present inventionStructural schematic diagram.The computer system 500 of electronic equipment shown in Fig. 5 is only an example, should not be to the embodiment of the present inventionFunction and use scope bring any restrictions.
As shown in figure 5, computer system 500 includes central processing unit (CPU) 501, it can be read-only according to being stored inProgram in memory (ROM) 502 or be loaded into the program in random access storage device (RAM) 503 from storage section 508 andExecute various movements appropriate and processing.In RAM 503, it is also stored with various programs and data needed for system operatio.CPU501, ROM 502 and RAM 503 is connected with each other by bus 504.Input/output (I/O) interface 505 is also connected to bus504。
I/O interface 505 is connected to lower component: the importation 506 including keyboard, mouse etc.;It is penetrated including such as cathodeThe output par, c 507 of spool (CRT), liquid crystal display (LCD) etc. and loudspeaker etc.;Storage section 508 including hard disk etc.;And the communications portion 509 of the network interface card including LAN card, modem etc..Communications portion 509 via such as becauseThe network of spy's net executes communication process.Driver 510 is also connected to I/O interface 505 as needed.Detachable media 511, such asDisk, CD, magneto-optic disk, semiconductor memory etc. are mounted on as needed on driver 510, in order to read from thereonComputer program be mounted into storage section 508 as needed.
Particularly, according to an embodiment of the invention, may be implemented as computer above with reference to the process of flow chart descriptionSoftware program.For example, the embodiment of the present invention includes a kind of computer program product comprising be carried on computer-readable mediumOn computer program, which includes the program code for method shown in execution flow chart.In such realityIt applies in example, which can be downloaded and installed from network by communications portion 509, and/or from detachable media511 are mounted.When the computer program is executed by central processing unit (CPU) 501, executes and limited in the system of the applicationAbove-mentioned function.
It should be noted that computer-readable medium shown in the present invention can be computer-readable signal media or meterCalculation machine readable storage medium storing program for executing either the two any combination.Computer readable storage medium for example can be --- but notBe limited to --- electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor system, device or device, or any above combination.MeterThe more specific example of calculation machine readable storage medium storing program for executing can include but is not limited to: have the electrical connection, just of one or more conducting wiresTaking formula computer disk, hard disk, random access storage device (RAM), read-only memory (ROM), erasable type may be programmed read-only storageDevice (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), light storage device, magnetic memory device,Or above-mentioned any appropriate combination.In the present invention, computer readable storage medium can be it is any include or storage journeyThe tangible medium of sequence, the program can be commanded execution system, device or device use or in connection.And at thisIn invention, computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal,Wherein carry computer-readable program code.The data-signal of this propagation can take various forms, including but unlimitedIn electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be that computer canAny computer-readable medium other than storage medium is read, which can send, propagates or transmit and be used forBy the use of instruction execution system, device or device or program in connection.Include on computer-readable mediumProgram code can transmit with any suitable medium, including but not limited to: wireless, electric wire, optical cable, RF etc. are above-mentionedAny appropriate combination.
Flow chart and block diagram in attached drawing are illustrated according to the system of various embodiments of the invention, method and computer journeyThe architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generationA part of one module, program segment or code of table, a part of above-mentioned module, program segment or code include one or moreExecutable instruction for implementing the specified logical function.It should also be noted that in some implementations as replacements, institute in boxThe function of mark can also occur in a different order than that indicated in the drawings.For example, two boxes succeedingly indicated are practicalOn can be basically executed in parallel, they can also be executed in the opposite order sometimes, and this depends on the function involved.Also it wantsIt is noted that the combination of each box in block diagram or flow chart and the box in block diagram or flow chart, can use and execute ruleThe dedicated hardware based systems of fixed functions or operations is realized, or can use the group of specialized hardware and computer instructionIt closes to realize.
Being described in unit involved in the embodiment of the present invention can be realized by way of software, can also be by hardThe mode of part realizes that described unit also can be set in the processor.Wherein, the title of these units is in certain situationUnder do not constitute restriction to the unit itself.
As on the other hand, present invention also provides a kind of computer-readable medium, which be can beIncluded in electronic equipment described in above-described embodiment;It is also possible to individualism, and without in the supplying electronic equipment.Above-mentioned computer-readable medium carries one or more program, when the electronics is set by one for said one or multiple programsWhen standby execution, so that the electronic equipment realizes such as above-mentioned medical data processing method as described in the examples.
For example, the electronic equipment may be implemented as shown in Figure 2: step S210, to the medical treatment in target data sourceData are analyzed, and multiple indicator-specific statistics rules are obtained;Step S220 is based on the indicator-specific statistics rule for the target dataMedical data in source is drawn into the first medical index library;Step S230, based on pre-determined draw rule to first medical treatmentMedical data in index storehouse is verified, wherein the pre-determined draw rule is to the doctor in first medical index libraryTreat the verification rule that data are verified;Step S240, through verifying the medical data determined in first medical index libraryWhen wrong, wrong medical data will be verified and be drawn into the second medical index library.
It should be noted that although being referred to several modules for acting the device executed in the above detailed descriptionOr unit, but this division is not enforceable.In fact, embodiment according to the present invention, above-described twoOr more the feature and function of module or unit can be embodied in a module or unit.Conversely, above-describedOne module or the feature and function of unit can be to be embodied by multiple modules or unit with further division.
Through the above description of the embodiments, those skilled in the art is it can be readily appreciated that example described herein is implementedMode can also be realized by software realization in such a way that software is in conjunction with necessary hardware.Therefore, according to the present inventionThe technical solution of embodiment can be embodied in the form of software products, which can store non-volatile at oneProperty storage medium (can be CD-ROM, USB flash disk, mobile hard disk etc.) in or network on, including some instructions are so that a calculatingEquipment (can be personal computer, server, touch control terminal or network equipment etc.) executes embodiment according to the present inventionMethod.
Those skilled in the art after considering the specification and implementing the invention disclosed here, will readily occur to of the invention itsIts embodiment.This application is intended to cover any variations, uses, or adaptations of the invention, these modifications, purposes orPerson's adaptive change follows general principle of the invention and including the undocumented common knowledge in the art of the present inventionOr conventional techniques.The description and examples are only to be considered as illustrative, and true scope and spirit of the invention are by followingClaim is pointed out.
It should be understood that the present invention is not limited to the precise structure already described above and shown in the accompanying drawings, andAnd various modifications and changes may be made without departing from the scope thereof.The scope of the present invention is limited only by the attached claims.

Claims (10)

Translated fromChinese
1.一种医疗数据处理方法,其特征在于,包括:1. a medical data processing method, is characterized in that, comprises:对目标数据源中的医疗数据进行分析,得到多个指标统计规则;Analyze the medical data in the target data source to obtain statistical rules for multiple indicators;基于所述指标统计规则将所述目标数据源中的医疗数据抽取到第一医疗指标库中;extracting the medical data in the target data source into the first medical index database based on the index statistical rule;基于预定抽取规则对所述第一医疗指标库中的医疗数据进行校验,其中,所述预定抽取规则为对所述第一医疗指标库中的医疗数据进行校验的校验规则;Verifying the medical data in the first medical indicator database based on a predetermined extraction rule, wherein the predetermined extraction rule is a verification rule for verifying the medical data in the first medical indicator database;在经校验确定所述第一医疗指标库中的医疗数据有误时,将校验有误的医疗数据抽取到第二医疗指标库中。When it is determined through verification that the medical data in the first medical index database is incorrect, the medical data that is incorrect in the verification is extracted into the second medical index database.2.根据权利要求1所述的医疗数据处理方法,其特征在于,所述医疗数据处理方法还包括:2. The medical data processing method according to claim 1, wherein the medical data processing method further comprises:在经校验确定所述第一医疗指标库中的医疗数据无误时,将校验无误的医疗数据作为基准数据;When it is determined that the medical data in the first medical index database is correct after verification, the medical data that is verified correctly is used as the reference data;将所述基准数据导入到第三医疗指标库中。The benchmark data is imported into the third medical index database.3.根据权利要求2所述的医疗数据处理方法,其特征在于,基于预定抽取规则对所述第一医疗指标库中的医疗数据进行校验,包括:3. The medical data processing method according to claim 2, wherein the verification of the medical data in the first medical index database based on a predetermined extraction rule comprises:基于所述指标统计规则从所述第三医疗指标库中获取所述基准数据;Obtaining the benchmark data from the third medical index database based on the index statistical rule;基于所述预定抽取规则以及所述基准数据对所述第一医疗指标库中的医疗数据进行校验。The medical data in the first medical index database is verified based on the predetermined extraction rule and the reference data.4.根据权利要求1所述的医疗数据处理方法,其特征在于,所述医疗数据处理方法还包括:4. The medical data processing method according to claim 1, wherein the medical data processing method further comprises:基于所述目标数据源中的医疗数据对所述第二医疗指标库中的医疗数据进行校验;verifying the medical data in the second medical index database based on the medical data in the target data source;在经校验确定所述第二医疗指标库中的医疗数据无误时,确定与校验无误的医疗数据对应的预定抽取规则;When it is determined that the medical data in the second medical index database is correct after verification, determining a predetermined extraction rule corresponding to the verified medical data;基于所述校验无误的医疗数据的校验结果调整所述对应的预定抽取规则。The corresponding predetermined extraction rule is adjusted based on the verification result of the verified medical data.5.根据权利要求4所述的医疗数据处理方法,其特征在于,所述医疗处理方法还包括:5. The medical data processing method according to claim 4, wherein the medical processing method further comprises:在经校验确定所述第二医疗指标库中的医疗数据有误时,确定与校验有误的医疗数据对应的预定抽取规则;When it is determined through verification that the medical data in the second medical index database is incorrect, determining a predetermined extraction rule corresponding to the medical data that is incorrectly verified;对所确定的所述对应的预定抽取规则添加可信标识。A trusted identifier is added to the determined corresponding predetermined extraction rule.6.根据权利要求1至5中任一项所述的医疗数据处理方法,其特征在于,所述预定抽取规则包括:指标主键重复率为零、同一指标同比增长率大于等于零、同一指标环比变化率小于等于第一阈值、医院各系统间就诊级别关联率大于等于第二阈值中的一种或多种。6. The medical data processing method according to any one of claims 1 to 5, wherein the predetermined extraction rule comprises: the index primary key repetition rate is zero, the year-on-year growth rate of the same index is greater than or equal to zero, and the same index changes month-on-month One or more of the rate is less than or equal to the first threshold, and the level of association rate of medical visits among various systems of the hospital is greater than or equal to the second threshold.7.根据权利要求6中所述的医疗数据处理方法,其特征在于,所述医疗数据处理方法还包括:7. The medical data processing method according to claim 6, wherein the medical data processing method further comprises:通过图表形式展示所述第一医疗指标库和所述第二医疗指标库中的医疗数据。The medical data in the first medical index library and the second medical index library are displayed in the form of graphs.8.一种医疗数据处理装置,其特征在于,包括:8. A medical data processing device, comprising:指标统计规则获取单元,用于对目标数据源中的医疗数据进行分析,得到多个指标统计规则;The indicator statistical rule acquisition unit is used to analyze the medical data in the target data source to obtain multiple indicator statistical rules;第一数据抽取单元,用于基于所述指标统计规则将所述目标数据源中的医疗数据抽取到第一医疗指标库中;a first data extraction unit, configured to extract the medical data in the target data source into a first medical index database based on the index statistical rule;校验单元,用于基于预定抽取规则对所述第一医疗指标库中的医疗数据进行校验,其中,所述预定抽取规则为对所述第一医疗指标库中的医疗数据进行校验的校验规则;a verification unit, configured to verify the medical data in the first medical index database based on a predetermined extraction rule, wherein the predetermined extraction rule is for verifying the medical data in the first medical index database check rules;第二数据抽取单元,用于在经校验确定所述第一医疗指标库中的医疗数据有误时,将校验有误的医疗数据抽取到第二医疗指标库中。The second data extraction unit is configured to extract the medical data with errors in the verification into the second medical indicator database when it is determined through verification that the medical data in the first medical indicator database is incorrect.9.一种电子设备,其特征在于,包括:9. An electronic device, characterized in that, comprising:处理器;以及processor; and存储器,所述存储器上存储有计算机可读指令,所述计算机可读指令被所述处理器执行时实现如权利要求1至7中任一项所述的医疗数据处理方法。a memory, where computer-readable instructions are stored thereon, and when the computer-readable instructions are executed by the processor, implement the medical data processing method according to any one of claims 1 to 7.10.一种计算机可读存储介质,其上存储有计算机程序,所述计算机程序被处理器执行时实现如权利要求1至7中任一项所述的医疗数据处理方法。10. A computer-readable storage medium on which a computer program is stored, the computer program implementing the medical data processing method according to any one of claims 1 to 7 when the computer program is executed by a processor.
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